Výsledky vyhledávání - "Garambois Pierre-André"

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Multi-gauge Hydrological Variational Data Assimilation: Regionalization Learning with Spatial Gradients using Multilayer Perceptron and Bayesian-Guided Multivariate Regression

Autor: Huynh, Ngo Nghi Truyen, Garambois, Pierre-André, Colleoni, François, Renard, Benjamin, Roux, Hélène

Publikováno v: Colloque SHF 2023 - Pr{\'e}vision des crues et des inondations, Nov 2023, Toulouse, France

Tackling the difficult problem of estimating spatially distributed hydrological parameters, especially for floods on ungauged watercourses, this contribution presents a novel seamless regionalization technique for learning complex regional transfer f

Externí odkaz: http://arxiv.org/abs/2307.02497

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Signatures-and-sensitivity-based multi-criteria variational calibration for distributed hydrological modeling applied to Mediterranean floods

Autor: Huynh, Ngo Nghi Truyen, Garambois, Pierre-André, Colleoni, François, Javelle, Pierre

Publikováno v: Journal of Hydrology, Volume 625, Part A, October 2023, 129992

Classical calibration methods in hydrology typically rely on a single cost function computed on long-term streamflow series. Even when hydrological models achieve acceptable scores in NSE and KGE, imbalances can still arise between overall model perf

Externí odkaz: http://arxiv.org/abs/2305.19307

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Akademický článek

1D/2D porosity model for urban flood modeling: case of a dense street networks

Autor: Finaud-Guyot Pascal, Garambois Pierre-André, Chen Shangzhi, Dellinger Guilhem, Ghenaim Abdellah, Terfous Abdellali

Publikováno v: E3S Web of Conferences, Vol 40, p 06010 (2018)

An increasing urbanization of floodplains has led to higher vul- nerability of urban areas and building a new generation of robust, accurate and computationally affordable models dedicated to urban floods is highly re- quired for improving prediction

Externí odkaz: https://doaj.org/article/c7aece5c21ae4877adf5f8902c631ddf